TY - JOUR
T1 - Genetic network structure of 13 psychiatric disorders in the general population
AU - Ihm, Hong Kyu
AU - Kim, Hyejin
AU - Kim, Jinho
AU - Park, Woong Yang
AU - Kang, Hyo Shin
AU - Park, Jungkyu
AU - Won, Hong Hee
AU - Myung, Woojae
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany 2023.
PY - 2024/8
Y1 - 2024/8
N2 - Psychiatric disorders frequently co-occur and share common symptoms and genetic backgrounds. Previous research has used genome-wide association studies to identify the interrelationships among psychiatric disorders and identify clusters of disorders; however, these methods have limitations in terms of their ability to examine the relationships among disorders as a network structure and their generalizability to the general population. In this study, we explored the network structure of the polygenic risk score (PRS) for 13 psychiatric disorders in a general population (276,249 participants of European ancestry from the UK Biobank) and identified communities and the centrality of the network. In this network, the nodes represented a PRS for each psychiatric disorder and the edges represented the connections between nodes. The psychiatric disorders comprised four robust communities. The first community included attention-deficit hyperactivity disorder, autism spectrum disorder, major depressive disorder, and anxiety disorder. The second community consisted of bipolar I and II disorders, schizophrenia, and anorexia nervosa. The third group included Tourette’s syndrome and obsessive–compulsive disorder. Cannabis use disorder, alcohol use disorder, and post-traumatic stress disorder make up the fourth community. The PRS of schizophrenia had the highest values for the three metrics (strength, betweenness, and closeness) in the network. Our findings provide a comprehensive genetic network of psychiatric disorders and biological evidence for the classification of psychiatric disorders.
AB - Psychiatric disorders frequently co-occur and share common symptoms and genetic backgrounds. Previous research has used genome-wide association studies to identify the interrelationships among psychiatric disorders and identify clusters of disorders; however, these methods have limitations in terms of their ability to examine the relationships among disorders as a network structure and their generalizability to the general population. In this study, we explored the network structure of the polygenic risk score (PRS) for 13 psychiatric disorders in a general population (276,249 participants of European ancestry from the UK Biobank) and identified communities and the centrality of the network. In this network, the nodes represented a PRS for each psychiatric disorder and the edges represented the connections between nodes. The psychiatric disorders comprised four robust communities. The first community included attention-deficit hyperactivity disorder, autism spectrum disorder, major depressive disorder, and anxiety disorder. The second community consisted of bipolar I and II disorders, schizophrenia, and anorexia nervosa. The third group included Tourette’s syndrome and obsessive–compulsive disorder. Cannabis use disorder, alcohol use disorder, and post-traumatic stress disorder make up the fourth community. The PRS of schizophrenia had the highest values for the three metrics (strength, betweenness, and closeness) in the network. Our findings provide a comprehensive genetic network of psychiatric disorders and biological evidence for the classification of psychiatric disorders.
KW - Clusters
KW - Genetic network
KW - Polygenic risk score
KW - Psychiatric disorder
KW - Schizophrenia
UR - http://www.scopus.com/inward/record.url?scp=85153042203&partnerID=8YFLogxK
U2 - 10.1007/s00406-023-01601-1
DO - 10.1007/s00406-023-01601-1
M3 - Article
C2 - 37074466
AN - SCOPUS:85153042203
SN - 0940-1334
VL - 274
SP - 1231
EP - 1236
JO - European Archives of Psychiatry and Clinical Neuroscience
JF - European Archives of Psychiatry and Clinical Neuroscience
IS - 5
ER -